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How AI Answers Questions About Documents It Never Learned

1Why the Model Cannot Answer From Your Documents Alone2Chunking and Embedding: Turning Documents Into Something Searchable3Retrieval: Finding the Right Passages for a Question4Grounded Generation: Answering From the Retrieved Text
Grounded Generation: Answering From the Retrieved Text

Following a Citation Back to Its Source

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Those lines back to the chunks are not just a visual aid. In the real system they become numbered markers sitting right after each sentence of the answer.
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Citations turn the answer from a claim into something checkable. Each sentence in the answer carries a numbered marker, and that marker points to the exact chunk the sentence was drawn from. A reader can follow the marker back to the source passage and confirm that the answer says what the document says.

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